Evidence map›Paper›PMID 41142179›Full record

ArticleAdvances in radiation oncology2025

Functional Dose-Volume Analysis Based on a Novel Image Biomarker Derived From Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Poststereotactic Body Radiation Therapy Liver Function Preservation in Patients With Hepatocellular Carcinoma.

Yimin Ni, Ho-Fun Victor Lee, Chi-Leung Chiang, Lai-Yin Andy Cheung, Zhengxing Huang, Xinzhi Teng, Jiang Zhang, Ge Ren, Jing Cai, Tian Li

Abstract read
In one paragraph

Article in Advances in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yimin NiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Ho-Fun Victor LeeDepartment of Clinical Oncology, The University of Hong Kong, Hong Kong SAR, China.
Chi-Leung ChiangDepartment of Clinical Oncology, The University of Hong Kong, Hong Kong SAR, China.
Lai-Yin Andy CheungDepartment of Clinical Oncology, St. Paul's Hospital, Hong Kong SAR, China.
Zhengxing HuangDepartment of Biomedical Engineering, Zhejiang University, Zhejiang, China.
Xinzhi TengDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Jiang ZhangDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Ge RenDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Jing CaiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Tian LiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study is to identify functional dose-volume parameters based on image biomarker derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for predicting poststereotactic body radiation therapy (SBRT) liver function deterioration (LFD) in patients with hepatocellular carcinoma. Methods and Materials: Forty-eight patients treated with SBRT were retrospectively included. All patients underwent gadoxetate-enhanced DCE-MRI before treatment. Equivalent uniform dose, absolute dose-volume parameters including Dxcc and VxGy(cc) were calculated in 3 liver volumes: the anatomic volume (AV), the high-functional volumes (HFV) defined based on DCE-MRI derived function map, and the low-functional volume (LFV = AV - HFV). The primary endpoint of this study was the LFD as indicated by ∆albumin-bilirubin ≥ 0.5 at 1-month post-SBRT. Dose-volume parameters in patients with and without LFD were compared. Univariate logistic regression models were built to assess the ability of dose-volume parameters to distinguish between LFD and non-LFD cases. Results: Of the 48 patients, 12 (25%) had LFD (∆albumin-bilirubin ≥ 0.5). The dose-volume parameters in the AV and LFV were not statistically different in patients with and without LFD ( Conclusions: The dose-volume parameters derived from HFV were linked to the risk of post-SBRT LFD. These functional parameters derived based on DCE-MRI could be useful to guide more personalized SBRT planning to protect liver function.

Identifiers

PMID41142179
PMCPMC12550138

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.